Attendance in One Glance.
No Cards. No PINs. No Fraud.
EZHRM AI face recognition identifies employees in under a second and marks attendance automatically. Works at entry gates, factory floors, and remote sites — without any manual intervention.
Why Traditional Attendance Systems Fail
Biometric devices break, cards get lost, and PINs get shared — leaving attendance data unreliable
Biometric Hygiene Issues
Fingerprint scanners require physical contact. In post-pandemic workplaces, employees refuse to touch shared devices — leading to abandoned biometric systems.
Lost and Shared Cards
RFID and swipe cards get lost, forgotten, and shared between employees. Card-based attendance cannot guarantee the right person is actually present.
Buddy Punching Continues
PIN-based systems are the worst — one employee can punch in for an entire team. Attendance fraud is rampant and HR has no way to detect it.
High Device Maintenance
Traditional biometric devices break frequently in dusty factory or construction environments. Maintenance costs and downtime make them unreliable.
Manual Exception Handling
Every day HR handles exceptions for employees who could not punch in — forgotten cards, broken devices, network failures — consuming hours of admin time.
Expensive Hardware
High-end biometric terminals cost tens of thousands each. For companies with multiple sites, hardware costs alone make the system unaffordable.
Face Recognition Built for Indian Workplaces
Works on any Android device or IP camera — no expensive proprietary hardware required
Works on Any Android Device
No proprietary hardware needed. Mount any Android tablet or phone at the entrance and EZHRM turns it into a face recognition attendance terminal instantly.
Sub-Second Recognition
AI identifies registered employees in under one second, even in varying lighting conditions, with masks, or wearing glasses. No need to remove accessories.
Liveness Detection
EZHRM detects and rejects photo spoofing attempts. The AI requires a live face — a printed photo or phone screen showing someone else will not work.
Offline Mode
Face recognition works without internet. The AI model runs locally on the device. Attendance data syncs to the cloud automatically when connectivity is restored.
Payroll Integration
Face-verified attendance flows directly to payroll. Shift timings, late arrivals, early departures, and overtime are all calculated without manual data entry.
Real-Time Dashboard
See who entered, at what time, and from which terminal in real time. Drill into any employee entry log, view photos of each check-in, and export reports.
Face Recognition Attendance in Four Steps
Register Employee Face
HR captures 3–5 face photos of each employee during onboarding. The AI creates a secure face template — no raw photos are stored on the device or server.
Employee Walks In
Employee stands in front of the terminal. The AI identifies them in under one second. No card, no PIN, no touching — just a glance and attendance is marked.
Attendance Recorded
Time-stamped attendance entry is created instantly with a captured photo for audit. Spoofing attempts are flagged. Data syncs to HR dashboard in real time.
Payroll Calculated
Verified attendance data feeds directly into payroll. Present days, late marks, overtime, and shift data are calculated automatically — zero manual reconciliation.
What Our Customers Say
"We replaced our fingerprint devices with EZHRM face recognition on Android tablets. Setup took one day. Attendance accuracy is better than the biometric system, employees love it, and we saved on hardware costs too."
Frequently Asked Questions
Yes. EZHRM AI face recognition is trained to work with partial face obstruction including masks. Recognition accuracy with masks is above 95%. Liveness detection still applies even with masks worn.
Any Android tablet or smartphone (Android 8.0+) with a front camera works as a face recognition terminal. No proprietary biometric device is required. A wall-mounted tablet at the entrance is the most common setup.
EZHRM stores encrypted face templates (mathematical representations), not raw photos. The original photos used for registration are not retained. Face templates are stored encrypted on EZHRM servers with access controls.
No. EZHRM liveness detection requires a real, live face. Printed photos, phone screens, and video replays are detected and rejected. The system requires subtle eye movement and depth cues that photos cannot replicate.
Yes. EZHRM works in low-light conditions. For factory environments with very poor lighting, a simple LED strip near the tablet improves recognition performance. IR-enabled cameras work even in complete darkness.
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